受湍流影响,室内通风环境下的烟羽分布表现出波动变化且不连续的特性;在一些角落处,较大的漩涡会产生长时间的局部浓度极值区;另外室内的障碍物也会改变烟羽的分布状况.因此室内有障碍通风环境下的机器人气味源搜索问题变得很复杂.本文...受湍流影响,室内通风环境下的烟羽分布表现出波动变化且不连续的特性;在一些角落处,较大的漩涡会产生长时间的局部浓度极值区;另外室内的障碍物也会改变烟羽的分布状况.因此室内有障碍通风环境下的机器人气味源搜索问题变得很复杂.本文提出了基于概率适应度函数的粒子群优化(Probability-fitness-function based particle swarm optimization,P-PSO)算法并用于多机器人气味源搜索.P-PSO算法的特点是采用概率而非确定数来表达适应度函数值.针对气味源搜索问题,P-PSO算法的适应度函数值由贝叶斯和变论域模糊推理估计的气味源概率表达.为验证提出的搜索策略,构建了对应实际边界条件的室内通风环境的烟羽模型.仿真研究证明了本文提出的P-PSO搜索算法用于解决气味源搜索问题的可行性.展开更多
In order to control the dust pollution produced by air leg rock drill in the trolley area during the excavation of long-distance single ended tunnel,the full-scale physical model of working face was established by usi...In order to control the dust pollution produced by air leg rock drill in the trolley area during the excavation of long-distance single ended tunnel,the full-scale physical model of working face was established by using FLUENT software,and the numerical simulation analysis of tunnel drilling ventilation and dust removal parameters was carried out.The results show that it is difficult to control the dust pollution of the face by conventional ventilation,and the drilling dust is distributed in the range of 10 m from the face;after the introduction of the long pressure and short suction ventilation scheme,when the ratio of compressed air volume to exhaust air volume is 0.72,the height of the pressure fan is 2.5 m,the distance between the pressure fan and the palm face is 20 m,and the exhaust fan is 12 m away from the palm,the dust concentration control efficiency of the working face is increased by about 60%.Therefore,in the similar long-distance single head tunnel construction,it is appropriate to adopt the dust removal method of long-distance short suction and exhaust fan to ensure the working environment.展开更多
文摘受湍流影响,室内通风环境下的烟羽分布表现出波动变化且不连续的特性;在一些角落处,较大的漩涡会产生长时间的局部浓度极值区;另外室内的障碍物也会改变烟羽的分布状况.因此室内有障碍通风环境下的机器人气味源搜索问题变得很复杂.本文提出了基于概率适应度函数的粒子群优化(Probability-fitness-function based particle swarm optimization,P-PSO)算法并用于多机器人气味源搜索.P-PSO算法的特点是采用概率而非确定数来表达适应度函数值.针对气味源搜索问题,P-PSO算法的适应度函数值由贝叶斯和变论域模糊推理估计的气味源概率表达.为验证提出的搜索策略,构建了对应实际边界条件的室内通风环境的烟羽模型.仿真研究证明了本文提出的P-PSO搜索算法用于解决气味源搜索问题的可行性.
基金Project(51874016)supported by the National Natural Science Foundation of China。
文摘In order to control the dust pollution produced by air leg rock drill in the trolley area during the excavation of long-distance single ended tunnel,the full-scale physical model of working face was established by using FLUENT software,and the numerical simulation analysis of tunnel drilling ventilation and dust removal parameters was carried out.The results show that it is difficult to control the dust pollution of the face by conventional ventilation,and the drilling dust is distributed in the range of 10 m from the face;after the introduction of the long pressure and short suction ventilation scheme,when the ratio of compressed air volume to exhaust air volume is 0.72,the height of the pressure fan is 2.5 m,the distance between the pressure fan and the palm face is 20 m,and the exhaust fan is 12 m away from the palm,the dust concentration control efficiency of the working face is increased by about 60%.Therefore,in the similar long-distance single head tunnel construction,it is appropriate to adopt the dust removal method of long-distance short suction and exhaust fan to ensure the working environment.
